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Tim Kraska | |
---|---|
Born | |
Nationality | German |
Alma mater |
ETH Zurich (PhD) University of Münster (MSc)(BS) University of Sydney (MSc) |
Known for | Learned indexes |
Awards |
VLDB early career (2018) NSF Career Award (2015) Intel Outstanding Researcher Award (2021) |
Scientific career | |
Fields | Computer Science |
Institutions |
Massachusetts Institute of Technology Brown University |
Website |
people |
Tim Kraska is a German computer scientist specializing in data systems and the intersection of systems and machine learning. He is currently an associate professor of computer science at the Massachusetts Institute of Technology. [1]
Kraska received his PhD from the Swiss Federal Institute of Technology in Zürich in 2010, [2] his Master's of Science degrees from University of Münster in Germany and University of Sydney in 2006, [2] and a Bachelor of Science in Information Systems also from University of Münster in 2004. [2]
Kraska was at the University of California-Berkeley's AMPLab as a post-doctoral scholar from 2010 to 2012. [3] Kraska joined Brown University's computer science department as an assistant professor in January 2013. [2] During this time, his focus was on big data management and hybrid human/machine data base systems. [2] He was later promoted to adjunct professor in January 2018.
Kraska co-founded Einblick Analytics, a startup based on the Northstar research project, which builds a collaborative data platform to enable teams to work together. [4] [5] [6]
Kraska has been involved in the development of numerous data systems, such as building a database on S3, [7] which proposed for a first time the separation of compute and storage for cloud database systems as now used by Snowflake and many other systems; Tupleware, a compilation framework for data analytic workflows; [8] CrowdDB, a database system that automatically uses crowd-sourcing for data cleaning tasks; [9] and Northstar, an interactive data science system. [10] Kraska co-founded Einblick Analytics in 2010, a startup based on Northstar, which builds a collaborative data platform to enable teams to work together. [4] [5] [6]
Kraska developed the concept of Learned Indexes, which he developed while at Google. [11] It is now used as a part of Google BigTable, [12] has been integrated into RocksDB, [13] and has been used in other applications such as DNA sequence alignment [14] and internet packet classification. [15]
Kraska has also developed the first Instance Optimized Database Systems. [16]
Kraska has published more than 150 scholarly articles, has been cited more than 8,500 times and has an h-index of 43. [17]
Kraska received the Siemens Prize and the Master of Information Technology Scholarship for outstanding achievement from the University of Sydney, both in 2005. [2] Kraska received a German Academic Exchange Service scholarship in 2006. [2] Kraska received a Swiss National Science Foundation Prospective Researcher Fellowship in 2010. [2] Kraska received the VLDB best demo award in 2011 [2] and the VLDB Early Career Award in 2018. [18]
Kraska received the NSF Career Award in 2015, [19] [20] the Google Faculty Research Award in 2015 for his proposal “Human-In-the-Loop Data Exploration”, [21] the VMware Systems Research Award in 2017, [22] and the Intel Outstanding Researcher Award in 2021. [23]
Kraska was the PC Track Chair for the 2016 SIGMOD conference, [24] and he was the Program Vice Chair for the 2019 conference. [25] Kraska was awarded the Sloan Research Fellowship for computer science in 2017. [26] [17]
Kraska is on the advisory board of the Northeast Big Data Innovation Hub. [27]
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![]() | This article contains paid contributions. It may require
cleanup to comply with Wikipedia's
content policies, particularly
neutral point of view. |
Tim Kraska | |
---|---|
Born | |
Nationality | German |
Alma mater |
ETH Zurich (PhD) University of Münster (MSc)(BS) University of Sydney (MSc) |
Known for | Learned indexes |
Awards |
VLDB early career (2018) NSF Career Award (2015) Intel Outstanding Researcher Award (2021) |
Scientific career | |
Fields | Computer Science |
Institutions |
Massachusetts Institute of Technology Brown University |
Website |
people |
Tim Kraska is a German computer scientist specializing in data systems and the intersection of systems and machine learning. He is currently an associate professor of computer science at the Massachusetts Institute of Technology. [1]
Kraska received his PhD from the Swiss Federal Institute of Technology in Zürich in 2010, [2] his Master's of Science degrees from University of Münster in Germany and University of Sydney in 2006, [2] and a Bachelor of Science in Information Systems also from University of Münster in 2004. [2]
Kraska was at the University of California-Berkeley's AMPLab as a post-doctoral scholar from 2010 to 2012. [3] Kraska joined Brown University's computer science department as an assistant professor in January 2013. [2] During this time, his focus was on big data management and hybrid human/machine data base systems. [2] He was later promoted to adjunct professor in January 2018.
Kraska co-founded Einblick Analytics, a startup based on the Northstar research project, which builds a collaborative data platform to enable teams to work together. [4] [5] [6]
Kraska has been involved in the development of numerous data systems, such as building a database on S3, [7] which proposed for a first time the separation of compute and storage for cloud database systems as now used by Snowflake and many other systems; Tupleware, a compilation framework for data analytic workflows; [8] CrowdDB, a database system that automatically uses crowd-sourcing for data cleaning tasks; [9] and Northstar, an interactive data science system. [10] Kraska co-founded Einblick Analytics in 2010, a startup based on Northstar, which builds a collaborative data platform to enable teams to work together. [4] [5] [6]
Kraska developed the concept of Learned Indexes, which he developed while at Google. [11] It is now used as a part of Google BigTable, [12] has been integrated into RocksDB, [13] and has been used in other applications such as DNA sequence alignment [14] and internet packet classification. [15]
Kraska has also developed the first Instance Optimized Database Systems. [16]
Kraska has published more than 150 scholarly articles, has been cited more than 8,500 times and has an h-index of 43. [17]
Kraska received the Siemens Prize and the Master of Information Technology Scholarship for outstanding achievement from the University of Sydney, both in 2005. [2] Kraska received a German Academic Exchange Service scholarship in 2006. [2] Kraska received a Swiss National Science Foundation Prospective Researcher Fellowship in 2010. [2] Kraska received the VLDB best demo award in 2011 [2] and the VLDB Early Career Award in 2018. [18]
Kraska received the NSF Career Award in 2015, [19] [20] the Google Faculty Research Award in 2015 for his proposal “Human-In-the-Loop Data Exploration”, [21] the VMware Systems Research Award in 2017, [22] and the Intel Outstanding Researcher Award in 2021. [23]
Kraska was the PC Track Chair for the 2016 SIGMOD conference, [24] and he was the Program Vice Chair for the 2019 conference. [25] Kraska was awarded the Sloan Research Fellowship for computer science in 2017. [26] [17]
Kraska is on the advisory board of the Northeast Big Data Innovation Hub. [27]
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